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bullseye: Visualising Multiple Pairwise Variable Correlations and OtherScores

We provide a tidy data structure and visualisations for multiple or grouped variable correlations, general association measures scagnostics and other pairwise scores suitable for numerical, ordinal and nominal variables. Supported measures include distance correlation, maximal information, ace correlation, Kendall's tau, and polychoric correlation.

Version:1.0.1
Depends:R (≥ 4.1.0)
Imports:stats,dplyr,cli,rlang,ggplot2,labeling,ggiraph,DendSer,tidyr,polycor,colorspace
Suggests:DescTools,acepack,energy,linkspotter,minerva,scagnostics,testthat (≥ 3.0.0),knitr,rmarkdown,correlation,palmerpenguins,kableExtra,openintro,corrplot
Published:2025-09-15
DOI:10.32614/CRAN.package.bullseye
Author:Amit Chinwan [aut], Catherine Hurley [aut, cre]
Maintainer:Catherine Hurley <catherine.hurley at mu.ie>
License:MIT + fileLICENSE
URL:https://cbhurley.github.io/bullseye/,https://github.com/cbhurley/bullseye
NeedsCompilation:no
Materials:README,NEWS
CRAN checks:bullseye results

Documentation:

Reference manual:bullseye.html ,bullseye.pdf
Vignettes:Calculating pairwise scores using bullseye. (source,R code)
Integrating bullseye with other packages. (source,R code)
Visualising pairwise scores using bullseye. (source,R code)

Downloads:

Package source: bullseye_1.0.1.tar.gz
Windows binaries: r-devel:bullseye_1.0.1.zip, r-release:bullseye_1.0.1.zip, r-oldrel:bullseye_1.0.1.zip
macOS binaries: r-release (arm64):bullseye_1.0.1.tgz, r-oldrel (arm64):bullseye_1.0.1.tgz, r-release (x86_64):bullseye_1.0.1.tgz, r-oldrel (x86_64):bullseye_1.0.1.tgz
Old sources: bullseye archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=bullseyeto link to this page.


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